Browse skills

Automates and streamlines the entire application release workflow using Asc, improving DevOps efficiency and reducing manual errors.

Analyzes Clojure code for style, potential errors, and best practices, suggesting improvements aligned with Metabase standards.

This skill leverages SystemVerilog for simulating and verifying hardware designs, accelerating development and reducing errors in complex digital systems.

Analyzes WooCommerce plugin/theme code for errors, security vulnerabilities, and adherence to coding standards.

Troubleshoot plugin agent marketplace listings, identifying errors in metadata, descriptions, and functionality for improved discoverability.

Pine Debugger helps you quickly identify and fix errors in your TradingView Pine Script code, saving time and ensuring accurate strategy execution.

This "Quality Auditor" analyzes text for inconsistencies and errors, ensuring content accuracy and a polished final product.

Enforces TypeScript strict mode settings to improve code quality, catch errors early, and enhance maintainability in backend projects.

Bun-test analyzes web pages built with Bun, identifying performance bottlenecks and potential errors for optimization.

Automates backend code reviews using Yonatan Gross's playbook, ensuring consistency and catching common errors efficiently.

Automates Xcode build processes, resolving dependencies and errors for faster development cycles using Rudrankriyam's expertise.

Quickly identify Tailwind CSS class conflicts, errors, and inefficiencies within your project's code.

Automates end-to-end workflow tests using AI to identify errors and optimize complex Modu-AI process sequences.

Automatically identifies and suggests fixes for capacitor-related circuit errors in simulations and designs.

This Debugger skill automatically analyzes code snippets and identifies potential errors, saving developers time and frustration in finding bugs.

Automates healthkit backend code reviews, identifying potential errors, inefficiencies, and adherence to best practices.

Ruff Linting analyzes your code for style and potential errors, ensuring cleaner, more maintainable projects and preventing bugs early on.

Quickly identifies nonsensical or illogical statements in text, flagging potential errors or misleading information.

Analyzes iOS and Android app logs to identify errors, performance bottlenecks, and user behavior patterns for CapGo users.

This skill identifies and flags potential errors in your prompts, ensuring clearer outputs and more reliable AI responses.

Automates release review checklist completion, ensuring compliance and reducing manual DevOps oversight errors.

This Error Handling skill gracefully manages backend errors, preventing crashes and ensuring smooth application operation for improved reliability.

Identifies and suggests fixes for errors in siviter-xyz code through automated analysis and targeted debugging techniques.

Checks evaluator outputs against ground truth data to identify biases, errors, and performance inconsistencies.